Experimental comparison of signal subspace based noise reduction methods

Author

Hansen, Peter S K ; Hansen, Per Christian ; Hansen, Steflen Duus ; Sorensen, J.A.

Author_Institution

Dept. of Math. Modelling, Tech. Univ., Lyngby, Denmark

Volume

1

fYear

1999

fDate

15-19 Mar 1999

Firstpage

101

Abstract

The signal subspace approach for non-parametric speech enhancement is considered. Several algorithms have been proposed in the literature but only partly analyzed. Here, the different algorithms are compared, and the emphasis is put onto the limiting factors and practical behavior of the estimators. Experimental results show that the signal subspace approach may lead to a significant enhancement of the signal to noise ratio of the output signal

Keywords

noise; speech enhancement; SNR; SVD; algorithms; experimental comparison; informal listening tests; nonparametric speech enhancement; output signal; signal subspace based noise reduction methods; signal to noise ratio; single-microphone speech enhancement; speech quality; Additive noise; Digital signal processing; Distortion; Least squares approximation; Mathematical model; Matrix decomposition; Noise reduction; Signal processing algorithms; Signal to noise ratio; Speech enhancement;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on

Conference_Location

Phoenix, AZ

ISSN

1520-6149

Print_ISBN

0-7803-5041-3

Type

conf

DOI

10.1109/ICASSP.1999.758072

Filename

758072